Data Annotation Project Manager
| Company | Iterative Health |
|---|---|
| Location | Cambridge, MA, USA, New York, NY, USA |
| Salary | $100000 – $130000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level |
Requirements
- Over 2 years of experience in data annotation, data operations, or related fields, including at least 1 year in leading annotation teams.
- Detail-oriented with experience reviewing documentation and quantitative/qualitative work, in addition to being responsible for reviewing the work of others to ensure accuracy, completeness, and consistency with standards.
- Knowledgeable about machine learning team operations and annotated data in model training.
- Hands-on experience with data annotation platforms such as Encord, LabelBox, Scale AI, Supervisely, etc.
- Strong communication, documentation, organization, and project management skills.
- Experience collaborating with cross-functional teams in a dynamic, fast-paced startup environment.
Responsibilities
- Work cross-functionally with Machine Learning, Product, and Scientific teams from ideation to production phases of various medical image annotation initiatives.
- Collaborate closely with stakeholders to develop precise project specifications and determine suitable datasets for model training, validation, evaluation, and regulatory submissions.
- Ownership of annotation efforts, ensuring they align with product requirements, meet compliance obligations, and are completed efficiently.
- Monitor, evaluate, and mitigate risks across all data annotation workflows by establishing and tracking quality metrics for annotation tasks.
- Present findings and insights to stakeholders at different levels.
- Oversee operational logistics, including resource forecasting and capacity planning, by managing the annotation leads and individual annotators.
- Detail-oriented in data sourcing, creating training/evaluation contents, onboarding annotators, and conducting assessments while ensuring adherence to data governance and compliance standards.
Preferred Qualifications
- Experience with Encord Annotation platform, Training and Learning Management Systems (e.g., LearnUpon, Docebo, iSpring, etc.), QuickBase, Electronic Health Records.
- Working knowledge of Gastroenterology, particularly GI polyps and colorectal cancer, Inflammatory bowel disease (IBD).
- Regulated medical device and FDA submissions.